Protecting data privacy in private information retrieval schemes

Yael Gertner, Yuval Ishai, Eyal Kushilevitz, Tal Malkin

Research output: Contribution to journalConference articlepeer-review

198 Scopus citations

Abstract

A model of symmetrically-private information retrieval (SPIR), where the privacy of the data as well as of the user is guaranteed, is presented. The transformation of PIR schemes into SPIR schemes is presented, paying at most, a logarithmic factor in communication complexity. A new cryptographic primitive is introduced, denoted as conditional disclosure of secrets.

Original languageEnglish
Pages (from-to)151-160
Number of pages10
JournalConference Proceedings of the Annual ACM Symposium on Theory of Computing
DOIs
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 30th Annual ACM Symposium on Theory of Computing - Dallas, TX, USA
Duration: 23 May 199826 May 1998

ASJC Scopus subject areas

  • Software

Fingerprint

Dive into the research topics of 'Protecting data privacy in private information retrieval schemes'. Together they form a unique fingerprint.

Cite this